Ensuring Safety in an Uncertain Environment: Constrained MDPs via Stochastic Thresholds

Qian Zuo, Fengxiang He

This paper studies constrained Markov decision processes (CMDPs) with constraints against stochastic thresholds, aiming at safety of reinforcement learning in unknown and uncertain…